SHIFT A List of What to Watch in 2025
Jan 15, 2025
In this engaging discussion, cognitive scientist Gary Marcus shares his predictions for AI in 2025. He explores the contentious topic of artificial general intelligence, critiquing past generative AI predictions. Gary highlights the urgent need for regulation, sharing his experience testifying in the U.S. Senate about the risks of unregulated AI. He balances his critical outlook with an optimistic view of technological advancements, especially in large language models, underscoring the importance of realistic expectations as the field evolves.
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Episode notes
End Of An AI Intellectual Monoculture
- Marcus highlights a recent intellectual monoculture favoring large language models over alternative approaches.
- He expects research priorities to broaden as limitations become clearer.
Use Concrete Tasks To Test AGI Claims
- Marcus proposes concrete tests to evaluate AGI claims, using human-easy but machine-hard tasks.
- He predicts few if any of these tasks will be reliably solved by end of 2025.
Hype Outruns Practical Capability
- He warns generative AI will remain unreliable with persistent hallucinations and reasoning errors.
- Hype around AI agents and humanoid robots will outpace practical real-world capability.
